Abstract Models are among the most essential tools in robotics, such as kinematics and
dynamics models of the robot's own body and controllable external objects. It is widely …

Probabilistic inference is the problem of estimating the hidden variables (states or
parameters) of a system in an optimal and consistent fashion as a set of noisy or incomplete …

An unmanned aerial vehicle (UAV) is an aircraft that is equipped with necessary data
processing units, sensors, automatic control and communications systems, and is capable of …

In this article, we attempt to document a technical overview on modern miniature unmanned
rotorcraft systems. We first give a brief review on the historical development of the rotorcraft …

AEROSPACE engineering applications greatly stimulated the development of optimal
control theory during the 1950s and 1960s, where the objective was to drive the system …

We investigate the feasibility of a nonlinear model predictive tracking control (NMPTC) for
autonomous helicopters. We formulate a NMPTC algorithm for planning paths under input …

In this paper, we present the design and implementation of an autonomous flight control law
for a small-scale unmanned aerial vehicle (UAV) helicopter. The approach is decentralized …

As a nonlinear underactuated plant, double inverted pendulum on a cart (DIPC) poses a
challenging control problem. It seems to have been one of attractive tools for testing linear …

This correspondence paper presents the validation of a formation flight control technique
with obstacle avoidance capability based on nonlinear model predictive algorithms. Control …

Aerial continuum manipulation systems (ACMSs) equipped with single continuum arm have
recently been introduced to improve the operational capabilities of conventional aerial …